{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "28a707cf-1b94-425f-9d8e-2ad4b67ce1e2",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-06-20T01:21:36.393347Z",
     "iopub.status.busy": "2023-06-20T01:21:36.392152Z",
     "iopub.status.idle": "2023-06-20T01:21:36.402812Z",
     "shell.execute_reply": "2023-06-20T01:21:36.399513Z",
     "shell.execute_reply.started": "2023-06-20T01:21:36.393294Z"
    }
   },
   "source": [
    "# UFO Sightings\n",
    "\n",
    "_Where should we go to maximize our chances of a UFO Sighting?_\n",
    "\n",
    "\n",
    "Original data available from [Kaggle.com](https://www.kaggle.com/datasets/NUFORC/ufo-sightings)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "72402a10-6dd9-4b1e-af61-5f8e2bd55a3f",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-06-23T02:22:36.183530Z",
     "iopub.status.busy": "2023-06-23T02:22:36.182564Z",
     "iopub.status.idle": "2023-06-23T02:22:37.966267Z",
     "shell.execute_reply": "2023-06-23T02:22:37.965887Z",
     "shell.execute_reply.started": "2023-06-23T02:22:36.183500Z"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import seaborn as sns\n",
    "import matplotlib.pyplot as plt"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "3e101717-f733-46f4-9816-463420d76864",
   "metadata": {},
   "source": [
    "A real data analysis project requires a lot of investigation and looking for complex patterns. \n",
    "\n",
    "We are going to look at the UFO data set from Kaggle, and try to figure out where we should go if we want to the highest chance of meeting. I mean, we cannot all wait until [April 5 2063 in Bozeman, Montana](https://en.wikipedia.org/wiki/Vulcan_(Star_Trek)#:~:text=On%20April%205%2C%202063%2C%20Vulcans,s%20first%20warp%2Dcapable%20starship.)!\n",
    "\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "8e487900-996e-48da-a045-aec7f914b1a7",
   "metadata": {},
   "source": [
    "## Load and format the data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "b0adf8ba-fa4b-402a-a22f-fef9363c860d",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-06-23T02:22:37.966865Z",
     "iopub.status.busy": "2023-06-23T02:22:37.966709Z",
     "iopub.status.idle": "2023-06-23T02:22:40.136171Z",
     "shell.execute_reply": "2023-06-23T02:22:40.135871Z",
     "shell.execute_reply.started": "2023-06-23T02:22:37.966856Z"
    },
    "tags": []
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/var/folders/g3/ht715qhj3cs5jcw0fnkfbh1c0000gp/T/ipykernel_75389/48040896.py:1: DtypeWarning: Columns (5,9) have mixed types. Specify dtype option on import or set low_memory=False.\n",
      "  ufo_df = pd.read_csv(\"datasets/ufo.csv\")\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>datetime</th>\n",
       "      <th>city</th>\n",
       "      <th>state</th>\n",
       "      <th>country</th>\n",
       "      <th>shape</th>\n",
       "      <th>duration (seconds)</th>\n",
       "      <th>duration (hours/min)</th>\n",
       "      <th>comments</th>\n",
       "      <th>date posted</th>\n",
       "      <th>latitude</th>\n",
       "      <th>longitude</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1949-10-10 20:30:00</td>\n",
       "      <td>san marcos</td>\n",
       "      <td>tx</td>\n",
       "      <td>us</td>\n",
       "      <td>cylinder</td>\n",
       "      <td>2700</td>\n",
       "      <td>45 minutes</td>\n",
       "      <td>This event took place in early fall around 194...</td>\n",
       "      <td>2004-04-27</td>\n",
       "      <td>29.883056</td>\n",
       "      <td>-97.941111</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1949-10-10 21:00:00</td>\n",
       "      <td>lackland afb</td>\n",
       "      <td>tx</td>\n",
       "      <td>NaN</td>\n",
       "      <td>light</td>\n",
       "      <td>7200</td>\n",
       "      <td>1-2 hrs</td>\n",
       "      <td>1949 Lackland AFB&amp;#44 TX.  Lights racing acros...</td>\n",
       "      <td>2005-12-16</td>\n",
       "      <td>29.384210</td>\n",
       "      <td>-98.581082</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1955-10-10 17:00:00</td>\n",
       "      <td>chester (uk/england)</td>\n",
       "      <td>NaN</td>\n",
       "      <td>gb</td>\n",
       "      <td>circle</td>\n",
       "      <td>20</td>\n",
       "      <td>20 seconds</td>\n",
       "      <td>Green/Orange circular disc over Chester&amp;#44 En...</td>\n",
       "      <td>2008-01-21</td>\n",
       "      <td>53.200000</td>\n",
       "      <td>-2.916667</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1956-10-10 21:00:00</td>\n",
       "      <td>edna</td>\n",
       "      <td>tx</td>\n",
       "      <td>us</td>\n",
       "      <td>circle</td>\n",
       "      <td>20</td>\n",
       "      <td>1/2 hour</td>\n",
       "      <td>My older brother and twin sister were leaving ...</td>\n",
       "      <td>2004-01-17</td>\n",
       "      <td>28.978333</td>\n",
       "      <td>-96.645833</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1960-10-10 20:00:00</td>\n",
       "      <td>kaneohe</td>\n",
       "      <td>hi</td>\n",
       "      <td>us</td>\n",
       "      <td>light</td>\n",
       "      <td>900</td>\n",
       "      <td>15 minutes</td>\n",
       "      <td>AS a Marine 1st Lt. flying an FJ4B fighter/att...</td>\n",
       "      <td>2004-01-22</td>\n",
       "      <td>21.418056</td>\n",
       "      <td>-157.803611</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "             datetime                  city state country     shape  \\\n",
       "0 1949-10-10 20:30:00            san marcos    tx      us  cylinder   \n",
       "1 1949-10-10 21:00:00          lackland afb    tx     NaN     light   \n",
       "2 1955-10-10 17:00:00  chester (uk/england)   NaN      gb    circle   \n",
       "3 1956-10-10 21:00:00                  edna    tx      us    circle   \n",
       "4 1960-10-10 20:00:00               kaneohe    hi      us     light   \n",
       "\n",
       "  duration (seconds) duration (hours/min)  \\\n",
       "0               2700           45 minutes   \n",
       "1               7200              1-2 hrs   \n",
       "2                 20           20 seconds   \n",
       "3                 20             1/2 hour   \n",
       "4                900           15 minutes   \n",
       "\n",
       "                                            comments date posted   latitude  \\\n",
       "0  This event took place in early fall around 194...  2004-04-27  29.883056   \n",
       "1  1949 Lackland AFB&#44 TX.  Lights racing acros...  2005-12-16  29.384210   \n",
       "2  Green/Orange circular disc over Chester&#44 En...  2008-01-21  53.200000   \n",
       "3  My older brother and twin sister were leaving ...  2004-01-17  28.978333   \n",
       "4  AS a Marine 1st Lt. flying an FJ4B fighter/att...  2004-01-22  21.418056   \n",
       "\n",
       "    longitude  \n",
       "0  -97.941111  \n",
       "1  -98.581082  \n",
       "2   -2.916667  \n",
       "3  -96.645833  \n",
       "4 -157.803611  "
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ufo_df = pd.read_csv(\"datasets/ufo.csv\")\n",
    "ufo_df[\"datetime\"] = pd.to_datetime(ufo_df[\"datetime\"].str.replace(\"24:00\", \"0:00\"))\n",
    "ufo_df[\"date posted\"] = pd.to_datetime(ufo_df[\"date posted\"])\n",
    "ufo_df.columns = [c.strip() for c in ufo_df.columns]\n",
    "ufo_df[\"latitude\"] = pd.to_numeric(ufo_df[\"latitude\"], errors=\"coerce\")\n",
    "ufo_df[\"longitude\"] = pd.to_numeric(ufo_df[\"longitude\"], errors=\"coerce\")\n",
    "\n",
    "ufo_df.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "371010f3-9310-4646-88e8-439ea09504c9",
   "metadata": {},
   "source": [
    "## Are UFO sightings increasing or decreasing? Let's find out!"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "fa2e735d-338a-44ba-b396-b26cdc1bfbeb",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-06-23T02:22:40.136828Z",
     "iopub.status.busy": "2023-06-23T02:22:40.136682Z",
     "iopub.status.idle": "2023-06-23T02:22:40.287751Z",
     "shell.execute_reply": "2023-06-23T02:22:40.287415Z",
     "shell.execute_reply.started": "2023-06-23T02:22:40.136820Z"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "ufo_df.set_index(\"datetime\").resample(\"Q\")[\"shape\"].count().plot()\n",
    "plt.ylabel(\"Number of sightings\")\n",
    "plt.xlabel(\"\")\n",
    "plt.title(\"Number of sightings against time\");"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "142ea6e4-6da1-4ee8-bcf3-ff04fd4c4ca4",
   "metadata": {},
   "source": [
    "They are definitely increasing against time!"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "902eebce-96b0-4b96-99d4-a736fb36ed3b",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-06-20T01:58:07.407363Z",
     "iopub.status.busy": "2023-06-20T01:58:07.406824Z",
     "iopub.status.idle": "2023-06-20T01:58:07.432580Z",
     "shell.execute_reply": "2023-06-20T01:58:07.431693Z",
     "shell.execute_reply.started": "2023-06-20T01:58:07.407330Z"
    },
    "tags": []
   },
   "source": [
    "## Where are the UFO sighting hotspots?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "fd7e5047-c201-496c-b130-c09a51f9fe5c",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-06-23T02:22:40.289311Z",
     "iopub.status.busy": "2023-06-23T02:22:40.289165Z",
     "iopub.status.idle": "2023-06-23T02:22:40.444971Z",
     "shell.execute_reply": "2023-06-23T02:22:40.444643Z",
     "shell.execute_reply.started": "2023-06-23T02:22:40.289302Z"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.scatterplot(data=ufo_df, x=\"longitude\", y=\"latitude\");"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ec95a52d-26a6-46cf-9e63-8b2e58bf8366",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-06-20T02:23:31.239759Z",
     "iopub.status.busy": "2023-06-20T02:23:31.239470Z",
     "iopub.status.idle": "2023-06-20T02:23:31.493112Z",
     "shell.execute_reply": "2023-06-20T02:23:31.492322Z",
     "shell.execute_reply.started": "2023-06-20T02:23:31.239744Z"
    },
    "tags": []
   },
   "source": [
    "We can use some libraries that will plot this on a world map, but we can see the overall shape already! We see that North America, Europe, Australian, New Zealand, South Africa, and India are well visited.\n",
    "\n",
    "We can see which countries are most visited:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "a9d084cc-1ad3-4ae7-8dbb-cd642732da7e",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-06-23T02:22:40.445594Z",
     "iopub.status.busy": "2023-06-23T02:22:40.445494Z",
     "iopub.status.idle": "2023-06-23T02:22:40.450880Z",
     "shell.execute_reply": "2023-06-23T02:22:40.450619Z",
     "shell.execute_reply.started": "2023-06-23T02:22:40.445586Z"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>index</th>\n",
       "      <th>country</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>us</td>\n",
       "      <td>0.810561</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>NaN</td>\n",
       "      <td>0.120375</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>ca</td>\n",
       "      <td>0.037345</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>gb</td>\n",
       "      <td>0.023714</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>au</td>\n",
       "      <td>0.006697</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>de</td>\n",
       "      <td>0.001307</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  index   country\n",
       "0    us  0.810561\n",
       "1   NaN  0.120375\n",
       "2    ca  0.037345\n",
       "3    gb  0.023714\n",
       "4    au  0.006697\n",
       "5    de  0.001307"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ufo_df[\"country\"].value_counts(normalize=True, dropna=False).reset_index()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "46706521-f0db-4947-b54f-f27a1bffbb55",
   "metadata": {},
   "source": [
    "Or more visually"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "453a9887-c668-4556-ae1d-fe3c15df5db0",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-06-23T02:22:40.451460Z",
     "iopub.status.busy": "2023-06-23T02:22:40.451356Z",
     "iopub.status.idle": "2023-06-23T02:22:40.537415Z",
     "shell.execute_reply": "2023-06-23T02:22:40.536505Z",
     "shell.execute_reply.started": "2023-06-23T02:22:40.451451Z"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1200x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "ufo_df[\"country\"].value_counts(normalize=True, dropna=False).to_frame().T.plot(\n",
    "    kind=\"barh\", stacked=True, rot=90, figsize=(12, 5)\n",
    ")\n",
    "plt.xlim(0, 1)\n",
    "plt.margins(y=0)\n",
    "plt.legend(bbox_to_anchor=(1.04, 1), loc=\"upper left\")\n",
    "plt.gca().xaxis.set_major_formatter(plt.FuncFormatter(\"{:.0%}\".format))"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "cd865fb9-ce45-45a3-b4de-4842c2979495",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-06-20T02:34:57.236784Z",
     "iopub.status.busy": "2023-06-20T02:34:57.236351Z",
     "iopub.status.idle": "2023-06-20T02:34:57.268387Z",
     "shell.execute_reply": "2023-06-20T02:34:57.268093Z",
     "shell.execute_reply.started": "2023-06-20T02:34:57.236757Z"
    },
    "tags": []
   },
   "source": [
    "We can see that there are a lot of countries missing. New Zealand is obvious on the map, but isn't listed as as country on the list!\n",
    "\n",
    "We see that regardless of where the missing countries belong to, the country with the most sightings is the US. However, the US is absolutely huge, compared to say Belguim. If we were trying to maximize our chance of seeing a UFO, we should look for the area with the highest concentration of sightings.\n",
    "\n",
    "Let's look within 1 degree (that is 0.5 degrees either side) and find the point with the most sightings within 1 square degree. At the equator, 1 sq degree is 111 km by 111 km"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "e0bebc5a-ca0e-400d-9b46-40c83daea7a4",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-06-23T02:22:40.538466Z",
     "iopub.status.busy": "2023-06-23T02:22:40.538232Z",
     "iopub.status.idle": "2023-06-23T02:22:40.542525Z",
     "shell.execute_reply": "2023-06-23T02:22:40.541821Z",
     "shell.execute_reply.started": "2023-06-23T02:22:40.538453Z"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "def num_rows_in_window(\n",
    "    longitude: float, latitude: float, df: pd.DataFrame, window_size_in_deg: float = 1.0\n",
    ") -> int:\n",
    "    \"\"\"Finds the densest spot.\n",
    "\n",
    "    Is a simplifed example, as it works in square degrees. The size of a square degree changes\n",
    "    as you move North or South. A more correct version would use distance, and correct for the\n",
    "    latitude.\n",
    "\n",
    "    Also doesn't correctly capture points within 1 degree of\n",
    "    - the 180 degree longitude (near the dateline)\n",
    "    - within 1 degree of the poles\n",
    "    due to wrapping effect. Sightings are low in these places, so the effect on the outcome\n",
    "    is minimal\n",
    "    \"\"\"\n",
    "    min_lat, max_lat = (\n",
    "        latitude - window_size_in_deg / 2,\n",
    "        latitude + window_size_in_deg / 2,\n",
    "    )\n",
    "    min_long, max_long = (\n",
    "        longitude - window_size_in_deg / 2,\n",
    "        longitude + window_size_in_deg / 2,\n",
    "    )\n",
    "\n",
    "    mask = df[\"longitude\"] >= min_long\n",
    "    mask &= df[\"longitude\"] <= max_long\n",
    "    mask &= df[\"latitude\"] >= min_lat\n",
    "    mask &= df[\"latitude\"] <= max_lat\n",
    "    return sum(mask)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "1a0f0287-be80-4606-b930-2da45b52f5b0",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-06-23T02:22:40.543409Z",
     "iopub.status.busy": "2023-06-23T02:22:40.543304Z",
     "iopub.status.idle": "2023-06-23T02:26:46.285172Z",
     "shell.execute_reply": "2023-06-23T02:26:46.284090Z",
     "shell.execute_reply.started": "2023-06-23T02:22:40.543400Z"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "ufo_df[\"num_nearby\"] = ufo_df.apply(\n",
    "    lambda row: num_rows_in_window(\n",
    "        longitude=row.longitude, latitude=row.latitude, df=ufo_df\n",
    "    ),\n",
    "    axis=1,\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "8d048846-31ad-4cbd-bc46-c20d12edbd55",
   "metadata": {},
   "source": [
    "Let's look at the top 10 sites:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "b57735f2-e82c-4239-839a-f40a10db19d7",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-06-23T02:26:46.286971Z",
     "iopub.status.busy": "2023-06-23T02:26:46.286822Z",
     "iopub.status.idle": "2023-06-23T02:26:46.370922Z",
     "shell.execute_reply": "2023-06-23T02:26:46.370474Z",
     "shell.execute_reply.started": "2023-06-23T02:26:46.286953Z"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>city</th>\n",
       "      <th>country</th>\n",
       "      <th>latitude</th>\n",
       "      <th>longitude</th>\n",
       "      <th>num_nearby</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>13617</th>\n",
       "      <td>cerritos</td>\n",
       "      <td>us</td>\n",
       "      <td>33.858333</td>\n",
       "      <td>-118.063889</td>\n",
       "      <td>2577</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6546</th>\n",
       "      <td>cypress</td>\n",
       "      <td>us</td>\n",
       "      <td>33.816944</td>\n",
       "      <td>-118.036389</td>\n",
       "      <td>2575</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>33492</th>\n",
       "      <td>la palma</td>\n",
       "      <td>us</td>\n",
       "      <td>33.846389</td>\n",
       "      <td>-118.045833</td>\n",
       "      <td>2572</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5159</th>\n",
       "      <td>norwalk</td>\n",
       "      <td>us</td>\n",
       "      <td>33.902222</td>\n",
       "      <td>-118.080833</td>\n",
       "      <td>2559</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>118</th>\n",
       "      <td>alhambra</td>\n",
       "      <td>us</td>\n",
       "      <td>34.095278</td>\n",
       "      <td>-118.126111</td>\n",
       "      <td>2558</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>64784</th>\n",
       "      <td>downey (north american aviation)</td>\n",
       "      <td>us</td>\n",
       "      <td>33.940000</td>\n",
       "      <td>-118.131667</td>\n",
       "      <td>2558</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3428</th>\n",
       "      <td>downey</td>\n",
       "      <td>us</td>\n",
       "      <td>33.940000</td>\n",
       "      <td>-118.131667</td>\n",
       "      <td>2558</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23304</th>\n",
       "      <td>santa fe springs</td>\n",
       "      <td>us</td>\n",
       "      <td>33.947222</td>\n",
       "      <td>-118.084444</td>\n",
       "      <td>2556</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9910</th>\n",
       "      <td>bell gardens</td>\n",
       "      <td>us</td>\n",
       "      <td>33.965278</td>\n",
       "      <td>-118.150556</td>\n",
       "      <td>2546</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28319</th>\n",
       "      <td>temple city</td>\n",
       "      <td>us</td>\n",
       "      <td>34.107222</td>\n",
       "      <td>-118.056944</td>\n",
       "      <td>2544</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                   city country   latitude   longitude  \\\n",
       "13617                          cerritos      us  33.858333 -118.063889   \n",
       "6546                            cypress      us  33.816944 -118.036389   \n",
       "33492                          la palma      us  33.846389 -118.045833   \n",
       "5159                            norwalk      us  33.902222 -118.080833   \n",
       "118                            alhambra      us  34.095278 -118.126111   \n",
       "64784  downey (north american aviation)      us  33.940000 -118.131667   \n",
       "3428                             downey      us  33.940000 -118.131667   \n",
       "23304                  santa fe springs      us  33.947222 -118.084444   \n",
       "9910                       bell gardens      us  33.965278 -118.150556   \n",
       "28319                       temple city      us  34.107222 -118.056944   \n",
       "\n",
       "       num_nearby  \n",
       "13617        2577  \n",
       "6546         2575  \n",
       "33492        2572  \n",
       "5159         2559  \n",
       "118          2558  \n",
       "64784        2558  \n",
       "3428         2558  \n",
       "23304        2556  \n",
       "9910         2546  \n",
       "28319        2544  "
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ufo_df[\n",
    "    [\"city\", \"country\", \"latitude\", \"longitude\", \"num_nearby\"]\n",
    "].drop_duplicates().sort_values(by=\"num_nearby\", ascending=False).head(10)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "6ddf5b10-65cc-473d-82da-2f9e8081cc5d",
   "metadata": {},
   "source": [
    "It seems Cerritos, California (or LA in general!) is the place to be!"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "2006790f-8246-4abc-a75f-892686884130",
   "metadata": {},
   "outputs": [],
   "source": []
  }
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